Overview

Dataset statistics

Number of variables15
Number of observations68629
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 MiB
Average record size in memory128.0 B

Variable types

Numeric15

Alerts

mean_ask_price1 is highly overall correlated with mean_ask_price2 and 4 other fieldsHigh correlation
mean_ask_price2 is highly overall correlated with mean_ask_price1 and 4 other fieldsHigh correlation
mean_ask_size1 is highly overall correlated with mean_ask_size2 and 4 other fieldsHigh correlation
mean_ask_size2 is highly overall correlated with mean_ask_size1 and 4 other fieldsHigh correlation
mean_bid_ask_1 is highly overall correlated with mean_ask_size1 and 6 other fieldsHigh correlation
mean_bid_ask_2 is highly overall correlated with mean_bid_ask_1 and 1 other fieldsHigh correlation
mean_bid_price1 is highly overall correlated with mean_ask_price1 and 4 other fieldsHigh correlation
mean_bid_price2 is highly overall correlated with mean_ask_price1 and 4 other fieldsHigh correlation
mean_bid_size1 is highly overall correlated with mean_ask_size1 and 4 other fieldsHigh correlation
mean_bid_size2 is highly overall correlated with mean_ask_size1 and 4 other fieldsHigh correlation
mean_volume_overall is highly overall correlated with mean_ask_size1 and 4 other fieldsHigh correlation
mean_wap_1 is highly overall correlated with mean_ask_price1 and 4 other fieldsHigh correlation
mean_wap_2 is highly overall correlated with mean_ask_price1 and 4 other fieldsHigh correlation
target_value is highly overall correlated with mean_bid_ask_1 and 1 other fieldsHigh correlation
mean_wap_1 has unique valuesUnique
mean_wap_2 has unique valuesUnique

Reproduction

Analysis started2024-07-01 19:00:12.499996
Analysis finished2024-07-01 19:00:43.099980
Duration30.6 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

target_value
Real number (ℝ)

HIGH CORRELATION 

Distinct68228
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0038878538
Minimum0.000112782
Maximum0.051954939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:43.202748image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.000112782
5-th percentile0.0011688978
Q10.002030894
median0.003060147
Q30.004733416
95-th percentile0.0094920512
Maximum0.051954939
Range0.051842157
Interquartile range (IQR)0.002702522

Descriptive statistics

Standard deviation0.0029421081
Coefficient of variation (CV)0.7567435
Kurtosis13.636917
Mean0.0038878538
Median Absolute Deviation (MAD)0.001223305
Skewness2.7721908
Sum266.81952
Variance8.6560001 × 10-6
MonotonicityNot monotonic
2024-07-01T15:00:43.356154image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.004125058 2
 
< 0.1%
0.002760894 2
 
< 0.1%
0.001727059 2
 
< 0.1%
0.004879351 2
 
< 0.1%
0.003471 2
 
< 0.1%
0.001837649 2
 
< 0.1%
0.00106919 2
 
< 0.1%
0.001689191 2
 
< 0.1%
0.003476125 2
 
< 0.1%
0.001659372 2
 
< 0.1%
Other values (68218) 68609
> 99.9%
ValueCountFrequency (%)
0.000112782 1
< 0.1%
0.000145461 1
< 0.1%
0.000244148 1
< 0.1%
0.000276828 1
< 0.1%
0.00027703 1
< 0.1%
0.000289663 1
< 0.1%
0.000309087 1
< 0.1%
0.00031157 1
< 0.1%
0.000311773 1
< 0.1%
0.000312335 1
< 0.1%
ValueCountFrequency (%)
0.051954939 1
< 0.1%
0.04473676 1
< 0.1%
0.043173945 1
< 0.1%
0.042814297 1
< 0.1%
0.038972343 1
< 0.1%
0.038377884 1
< 0.1%
0.035858885 1
< 0.1%
0.035500722 1
< 0.1%
0.034833812 1
< 0.1%
0.033972923 1
< 0.1%

mean_bid_price1
Real number (ℝ)

HIGH CORRELATION 

Distinct48506
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99967526
Minimum0.91495395
Maximum1.0602876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:43.502727image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.91495395
5-th percentile0.99517918
Q10.99855697
median0.99976563
Q31.0008906
95-th percentile1.0039111
Maximum1.0602876
Range0.14533365
Interquartile range (IQR)0.0023336411

Descriptive statistics

Standard deviation0.0033978804
Coefficient of variation (CV)0.0033989842
Kurtosis35.267607
Mean0.99967526
Median Absolute Deviation (MAD)0.0011669397
Skewness-0.7790326
Sum68606.713
Variance1.1545591 × 10-5
MonotonicityNot monotonic
2024-07-01T15:00:43.769276image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.000136852 8
 
< 0.1%
0.9996320009 7
 
< 0.1%
0.9999657273 7
 
< 0.1%
1.000174522 7
 
< 0.1%
1.000774622 7
 
< 0.1%
1.00047636 7
 
< 0.1%
1.000047803 7
 
< 0.1%
1.001395702 7
 
< 0.1%
1.000070333 7
 
< 0.1%
1.000124812 7
 
< 0.1%
Other values (48496) 68558
99.9%
ValueCountFrequency (%)
0.9149539471 1
< 0.1%
0.9237413406 1
< 0.1%
0.9399271011 1
< 0.1%
0.9447889328 1
< 0.1%
0.9495280981 1
< 0.1%
0.9519883394 1
< 0.1%
0.9551960826 1
< 0.1%
0.9553228021 1
< 0.1%
0.9568448663 1
< 0.1%
0.9581341147 1
< 0.1%
ValueCountFrequency (%)
1.060287595 1
< 0.1%
1.05970335 1
< 0.1%
1.04707253 1
< 0.1%
1.04695189 1
< 0.1%
1.04647696 1
< 0.1%
1.042449355 1
< 0.1%
1.040810108 1
< 0.1%
1.040786147 1
< 0.1%
1.038523197 1
< 0.1%
1.036801338 1
< 0.1%

mean_ask_price1
Real number (ℝ)

HIGH CORRELATION 

Distinct46836
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0003367
Minimum0.92490196
Maximum1.0627782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:43.918891image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.92490196
5-th percentile0.99611636
Q10.99911743
median1.0002469
Q31.0014408
95-th percentile1.0048349
Maximum1.0627782
Range0.13787627
Interquartile range (IQR)0.0023233294

Descriptive statistics

Standard deviation0.0033883156
Coefficient of variation (CV)0.0033871751
Kurtosis31.184253
Mean1.0003367
Median Absolute Deviation (MAD)0.0011626482
Skewness0.28112929
Sum68652.108
Variance1.1480682 × 10-5
MonotonicityNot monotonic
2024-07-01T15:00:44.072412image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.000271559 9
 
< 0.1%
1.000350475 9
 
< 0.1%
1.000754595 8
 
< 0.1%
1.000127554 8
 
< 0.1%
1.000756025 8
 
< 0.1%
1.000614524 8
 
< 0.1%
1.000278115 8
 
< 0.1%
1.000207663 8
 
< 0.1%
1.000319481 8
 
< 0.1%
1.000124454 7
 
< 0.1%
Other values (46826) 68548
99.9%
ValueCountFrequency (%)
0.9249019623 1
< 0.1%
0.9409254193 1
< 0.1%
0.9413431883 1
< 0.1%
0.9504429698 1
< 0.1%
0.9507238269 1
< 0.1%
0.9552826285 1
< 0.1%
0.9602628946 1
< 0.1%
0.9604155421 1
< 0.1%
0.9605900049 1
< 0.1%
0.9611907005 1
< 0.1%
ValueCountFrequency (%)
1.062778234 1
< 0.1%
1.061362743 1
< 0.1%
1.051860571 1
< 0.1%
1.049812436 1
< 0.1%
1.049417377 1
< 0.1%
1.044596195 1
< 0.1%
1.044046044 1
< 0.1%
1.043008447 1
< 0.1%
1.042058349 1
< 0.1%
1.04144907 1
< 0.1%

mean_bid_price2
Real number (ℝ)

HIGH CORRELATION 

Distinct48989
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99947681
Minimum0.91386199
Maximum1.0600523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:44.223283image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.91386199
5-th percentile0.99490039
Q10.99836236
median0.99960351
Q31.0007216
95-th percentile1.003672
Maximum1.0600523
Range0.14619029
Interquartile range (IQR)0.0023592114

Descriptive statistics

Standard deviation0.003410943
Coefficient of variation (CV)0.0034127285
Kurtosis35.642945
Mean0.99947681
Median Absolute Deviation (MAD)0.0011765361
Skewness-0.95032177
Sum68593.094
Variance1.1634532 × 10-5
MonotonicityNot monotonic
2024-07-01T15:00:44.368144image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.000073552 8
 
< 0.1%
1.000272989 8
 
< 0.1%
1.000054121 8
 
< 0.1%
1.000069737 8
 
< 0.1%
1.000181913 7
 
< 0.1%
0.9993767142 7
 
< 0.1%
1.000322461 7
 
< 0.1%
1.000436187 7
 
< 0.1%
1.000494957 7
 
< 0.1%
1.000174046 7
 
< 0.1%
Other values (48979) 68555
99.9%
ValueCountFrequency (%)
0.91386199 1
< 0.1%
0.9217710495 1
< 0.1%
0.9396725297 1
< 0.1%
0.9435725212 1
< 0.1%
0.949213922 1
< 0.1%
0.9512752891 1
< 0.1%
0.953311801 1
< 0.1%
0.954431057 1
< 0.1%
0.9564281702 1
< 0.1%
0.9575867057 1
< 0.1%
ValueCountFrequency (%)
1.060052276 1
< 0.1%
1.059149384 1
< 0.1%
1.046408653 1
< 0.1%
1.046381593 1
< 0.1%
1.045484304 1
< 0.1%
1.041992903 1
< 0.1%
1.040275216 1
< 0.1%
1.039163709 1
< 0.1%
1.038132906 1
< 0.1%
1.036542416 1
< 0.1%

mean_ask_price2
Real number (ℝ)

HIGH CORRELATION 

Distinct46358
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0005383
Minimum0.92784679
Maximum1.06326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:44.518154image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.92784679
5-th percentile0.99636534
Q10.99929583
median1.0004157
Q31.0016366
95-th percentile1.005092
Maximum1.06326
Range0.13541317
Interquartile range (IQR)0.0023407936

Descriptive statistics

Standard deviation0.0033968201
Coefficient of variation (CV)0.0033949926
Kurtosis30.244483
Mean1.0005383
Median Absolute Deviation (MAD)0.0011686683
Skewness0.48845185
Sum68665.943
Variance1.1538387 × 10-5
MonotonicityNot monotonic
2024-07-01T15:00:44.674128image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.000503302 8
 
< 0.1%
1.000940919 8
 
< 0.1%
1.000659943 8
 
< 0.1%
1.00052321 8
 
< 0.1%
1.000316739 8
 
< 0.1%
1.000526667 8
 
< 0.1%
1.000294447 8
 
< 0.1%
1.000292063 8
 
< 0.1%
1.000209689 8
 
< 0.1%
1.000433922 7
 
< 0.1%
Other values (46348) 68550
99.9%
ValueCountFrequency (%)
0.9278467894 1
< 0.1%
0.9415891171 1
< 0.1%
0.9468591213 1
< 0.1%
0.9507143497 1
< 0.1%
0.951992631 1
< 0.1%
0.9558285475 1
< 0.1%
0.9606835246 1
< 0.1%
0.9607527256 1
< 0.1%
0.9613258243 1
< 0.1%
0.9618893862 1
< 0.1%
ValueCountFrequency (%)
1.063259959 1
< 0.1%
1.061647534 1
< 0.1%
1.053086877 1
< 0.1%
1.05026865 1
< 0.1%
1.050138474 1
< 0.1%
1.045679092 1
< 0.1%
1.044316769 1
< 0.1%
1.043430805 1
< 0.1%
1.042550206 1
< 0.1%
1.042234778 1
< 0.1%

mean_bid_size1
Real number (ℝ)

HIGH CORRELATION 

Distinct68325
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean763.95358
Minimum2
Maximum186497.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:44.817446image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile51.758563
Q1101.13043
median151.78767
Q3275.92475
95-th percentile1523.1784
Maximum186497.11
Range186495.11
Interquartile range (IQR)174.79432

Descriptive statistics

Standard deviation4645.1224
Coefficient of variation (CV)6.0803726
Kurtosis304.70893
Mean763.95358
Median Absolute Deviation (MAD)64.928776
Skewness15.265238
Sum52429370
Variance21577163
MonotonicityNot monotonic
2024-07-01T15:00:44.963064image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139 4
 
< 0.1%
95 4
 
< 0.1%
78 3
 
< 0.1%
66 3
 
< 0.1%
114.6 3
 
< 0.1%
94 3
 
< 0.1%
83 3
 
< 0.1%
122 3
 
< 0.1%
92 3
 
< 0.1%
97.6 3
 
< 0.1%
Other values (68315) 68597
> 99.9%
ValueCountFrequency (%)
2 1
< 0.1%
2.043103448 1
< 0.1%
2.185185185 1
< 0.1%
2.694267516 1
< 0.1%
3.025 1
< 0.1%
3.051546392 1
< 0.1%
3.582608696 1
< 0.1%
4.1 1
< 0.1%
4.475 1
< 0.1%
4.827586207 1
< 0.1%
ValueCountFrequency (%)
186497.1106 1
< 0.1%
171277.697 1
< 0.1%
165264.6535 1
< 0.1%
133278.3177 1
< 0.1%
128551.076 1
< 0.1%
124189.433 1
< 0.1%
119686.4043 1
< 0.1%
112792.6066 1
< 0.1%
107915.7676 1
< 0.1%
107856.813 1
< 0.1%

mean_ask_size1
Real number (ℝ)

HIGH CORRELATION 

Distinct68325
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean753.0382
Minimum2.4883721
Maximum165055.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:45.104973image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum2.4883721
5-th percentile52.887366
Q1101.94149
median151.9112
Q3275.66881
95-th percentile1560.5018
Maximum165055.98
Range165053.49
Interquartile range (IQR)173.72732

Descriptive statistics

Standard deviation4477.0196
Coefficient of variation (CV)5.9452756
Kurtosis297.75896
Mean753.0382
Median Absolute Deviation (MAD)64.393454
Skewness15.158313
Sum51680258
Variance20043705
MonotonicityNot monotonic
2024-07-01T15:00:45.248337image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148 4
 
< 0.1%
124 4
 
< 0.1%
181 3
 
< 0.1%
111 3
 
< 0.1%
92.25 3
 
< 0.1%
104.8333333 3
 
< 0.1%
160.3333333 3
 
< 0.1%
116 3
 
< 0.1%
195 3
 
< 0.1%
103.75 3
 
< 0.1%
Other values (68315) 68597
> 99.9%
ValueCountFrequency (%)
2.488372093 1
< 0.1%
2.55721393 1
< 0.1%
2.769230769 1
< 0.1%
3.092857143 1
< 0.1%
3.51369863 1
< 0.1%
3.586956522 1
< 0.1%
3.873015873 1
< 0.1%
4.189781022 1
< 0.1%
4.272727273 1
< 0.1%
4.338028169 1
< 0.1%
ValueCountFrequency (%)
165055.9777 1
< 0.1%
150096.7347 1
< 0.1%
143973.5675 1
< 0.1%
141647.6709 1
< 0.1%
130429.4375 1
< 0.1%
124780.9365 1
< 0.1%
122426.5889 1
< 0.1%
120410.5639 1
< 0.1%
119986.406 1
< 0.1%
118358.695 1
< 0.1%

mean_bid_size2
Real number (ℝ)

HIGH CORRELATION 

Distinct68329
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean946.67489
Minimum1.0701754
Maximum353168.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:45.386060image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.0701754
5-th percentile42.258916
Q186.74812
median139.38221
Q3307.0875
95-th percentile2232.4149
Maximum353168.8
Range353167.73
Interquartile range (IQR)220.33938

Descriptive statistics

Standard deviation5762.2048
Coefficient of variation (CV)6.0867832
Kurtosis497.32621
Mean946.67489
Median Absolute Deviation (MAD)68.548576
Skewness17.51403
Sum64969351
Variance33203005
MonotonicityNot monotonic
2024-07-01T15:00:45.542076image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92 6
 
< 0.1%
110 4
 
< 0.1%
126 4
 
< 0.1%
97 3
 
< 0.1%
50 3
 
< 0.1%
89 3
 
< 0.1%
130.3333333 3
 
< 0.1%
96 3
 
< 0.1%
129 3
 
< 0.1%
44.25 3
 
< 0.1%
Other values (68319) 68594
99.9%
ValueCountFrequency (%)
1.070175439 1
< 0.1%
1.8125 1
< 0.1%
1.987012987 1
< 0.1%
2.182539683 1
< 0.1%
2.2125 1
< 0.1%
2.408450704 1
< 0.1%
2.513513514 1
< 0.1%
3.556521739 1
< 0.1%
3.62745098 1
< 0.1%
3.9 1
< 0.1%
ValueCountFrequency (%)
353168.8017 1
< 0.1%
241386.0042 1
< 0.1%
235160.3867 1
< 0.1%
220496.2832 1
< 0.1%
156655.5153 1
< 0.1%
148949.4943 1
< 0.1%
132471.1767 1
< 0.1%
131057.4979 1
< 0.1%
130619.5697 1
< 0.1%
130342.6138 1
< 0.1%

mean_ask_size2
Real number (ℝ)

HIGH CORRELATION 

Distinct68373
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean921.3564
Minimum1.5384615
Maximum184423.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:45.683065image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.5384615
5-th percentile43.315854
Q187.792453
median140.34317
Q3311.14957
95-th percentile2235.5025
Maximum184423.76
Range184422.22
Interquartile range (IQR)223.35712

Descriptive statistics

Standard deviation5396.2376
Coefficient of variation (CV)5.8568406
Kurtosis288.48234
Mean921.3564
Median Absolute Deviation (MAD)68.759151
Skewness14.993826
Sum63231768
Variance29119380
MonotonicityNot monotonic
2024-07-01T15:00:45.832023image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73 6
 
< 0.1%
122 4
 
< 0.1%
74.5 4
 
< 0.1%
87 3
 
< 0.1%
105 3
 
< 0.1%
91 3
 
< 0.1%
179 3
 
< 0.1%
116.5 3
 
< 0.1%
68 3
 
< 0.1%
110 3
 
< 0.1%
Other values (68363) 68594
99.9%
ValueCountFrequency (%)
1.538461538 1
< 0.1%
1.614035088 1
< 0.1%
2.146341463 1
< 0.1%
2.302325581 1
< 0.1%
2.607142857 1
< 0.1%
3.146118721 1
< 0.1%
3.316176471 1
< 0.1%
3.36440678 1
< 0.1%
3.470588235 1
< 0.1%
3.860759494 1
< 0.1%
ValueCountFrequency (%)
184423.7578 1
< 0.1%
184284.2891 1
< 0.1%
176206.9431 1
< 0.1%
151755.0561 1
< 0.1%
149706.0836 1
< 0.1%
144925.4742 1
< 0.1%
144353.7111 1
< 0.1%
143617.0279 1
< 0.1%
143209.6758 1
< 0.1%
139915.0788 1
< 0.1%

mean_bid_ask_1
Real number (ℝ)

HIGH CORRELATION 

Distinct68513
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0006614496
Minimum2.6671489 × 10-5
Maximum0.017183861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:45.978385image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum2.6671489 × 10-5
5-th percentile0.00014816378
Q10.00026418571
median0.00045050596
Q30.00080663944
95-th percentile0.00185878
Maximum0.017183861
Range0.017157189
Interquartile range (IQR)0.00054245372

Descriptive statistics

Standard deviation0.00068101312
Coefficient of variation (CV)1.0295767
Kurtosis35.519471
Mean0.0006614496
Median Absolute Deviation (MAD)0.00022571225
Skewness4.1399518
Sum45.394625
Variance4.6377888 × 10-7
MonotonicityNot monotonic
2024-07-01T15:00:46.125466image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001603841782 3
 
< 0.1%
0.00147819519 3
 
< 0.1%
0.0002956390381 3
 
< 0.1%
0.0008543133736 3
 
< 0.1%
0.001601278782 3
 
< 0.1%
0.001217588899 2
 
< 0.1%
0.0002452731133 2
 
< 0.1%
0.0003409067576 2
 
< 0.1%
0.0003647281555 2
 
< 0.1%
0.001504898071 2
 
< 0.1%
Other values (68503) 68604
> 99.9%
ValueCountFrequency (%)
2.667148874 × 10-51
< 0.1%
2.668658817 × 10-51
< 0.1%
2.683162711 × 10-51
< 0.1%
2.74501781 × 10-51
< 0.1%
2.766748185 × 10-51
< 0.1%
2.7689337 × 10-51
< 0.1%
2.790431245 × 10-51
< 0.1%
2.792914711 × 10-51
< 0.1%
2.793401472 × 10-51
< 0.1%
2.796640001 × 10-51
< 0.1%
ValueCountFrequency (%)
0.01718386076 1
< 0.1%
0.01615821756 1
< 0.1%
0.0129401274 1
< 0.1%
0.01257273927 1
< 0.1%
0.01168892998 1
< 0.1%
0.01093829516 1
< 0.1%
0.01085651666 1
< 0.1%
0.01078187209 1
< 0.1%
0.01062892843 1
< 0.1%
0.009947943501 1
< 0.1%

mean_bid_ask_2
Real number (ℝ)

HIGH CORRELATION 

Distinct68512
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0010614914
Minimum7.7547433 × 10-5
Maximum0.025087867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:46.276762image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum7.7547433 × 10-5
5-th percentile0.00031701616
Q10.00056150008
median0.00080430886
Q30.0012277438
95-th percentile0.0026991488
Maximum0.025087867
Range0.025010319
Interquartile range (IQR)0.00066624372

Descriptive statistics

Standard deviation0.00090448445
Coefficient of variation (CV)0.85208834
Kurtosis33.9246
Mean0.0010614914
Median Absolute Deviation (MAD)0.00029477704
Skewness4.0025667
Sum72.849093
Variance8.1809211 × 10-7
MonotonicityNot monotonic
2024-07-01T15:00:46.424998image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.004521429539 3
 
< 0.1%
0.0008869171143 3
 
< 0.1%
0.001050233841 3
 
< 0.1%
0.004434585571 3
 
< 0.1%
0.0004667906906 2
 
< 0.1%
0.001406206633 2
 
< 0.1%
0.004428088665 2
 
< 0.1%
0.001101562637 2
 
< 0.1%
0.0003637569025 2
 
< 0.1%
0.00125863438 2
 
< 0.1%
Other values (68502) 68605
> 99.9%
ValueCountFrequency (%)
7.754743274 × 10-51
< 0.1%
7.755736442 × 10-51
< 0.1%
7.762173482 × 10-51
< 0.1%
7.828209345 × 10-51
< 0.1%
7.842749619 × 10-51
< 0.1%
7.869561523 × 10-51
< 0.1%
7.873912546 × 10-51
< 0.1%
7.902502693 × 10-51
< 0.1%
7.903198275 × 10-51
< 0.1%
7.908433327 × 10-51
< 0.1%
ValueCountFrequency (%)
0.02508786693 1
< 0.1%
0.01996896043 1
< 0.1%
0.01654054783 1
< 0.1%
0.01502811257 1
< 0.1%
0.01497933269 1
< 0.1%
0.01484356541 1
< 0.1%
0.01434129756 1
< 0.1%
0.0143177053 1
< 0.1%
0.01426661387 1
< 0.1%
0.01398492977 1
< 0.1%

mean_wap_1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct68629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.000003
Minimum0.91947038
Maximum1.0612578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:46.560868image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.91947038
5-th percentile0.99564602
Q10.99883916
median1.0000041
Q31.0011656
95-th percentile1.0043533
Maximum1.0612578
Range0.14178744
Interquartile range (IQR)0.0023263912

Descriptive statistics

Standard deviation0.0033870914
Coefficient of variation (CV)0.0033870811
Kurtosis33.15124
Mean1.000003
Median Absolute Deviation (MAD)0.0011636321
Skewness-0.26422725
Sum68629.209
Variance1.1472388 × 10-5
MonotonicityNot monotonic
2024-07-01T15:00:46.818761image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.000420979 1
 
< 0.1%
1.001448158 1
 
< 0.1%
1.000905484 1
 
< 0.1%
1.000526667 1
 
< 0.1%
0.9943542175 1
 
< 0.1%
0.9994208703 1
 
< 0.1%
1.000390623 1
 
< 0.1%
1.001177654 1
 
< 0.1%
0.9979021757 1
 
< 0.1%
1.000686688 1
 
< 0.1%
Other values (68619) 68619
> 99.9%
ValueCountFrequency (%)
0.9194703782 1
< 0.1%
0.9324630047 1
< 0.1%
0.9406281315 1
< 0.1%
0.9471585198 1
< 0.1%
0.9498566877 1
< 0.1%
0.9535363827 1
< 0.1%
0.9576261123 1
< 0.1%
0.9585351674 1
< 0.1%
0.9591471536 1
< 0.1%
0.9594750321 1
< 0.1%
ValueCountFrequency (%)
1.061257821 1
< 0.1%
1.060886014 1
< 0.1%
1.050072589 1
< 0.1%
1.048417442 1
< 0.1%
1.048303415 1
< 0.1%
1.043245095 1
< 0.1%
1.042006318 1
< 0.1%
1.041470456 1
< 0.1%
1.039515414 1
< 0.1%
1.038973999 1
< 0.1%

mean_wap_2
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct68629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0000027
Minimum0.91979994
Maximum1.0611546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:46.969800image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.91979994
5-th percentile0.99564127
Q10.99883586
median1.0000049
Q31.0011674
95-th percentile1.0043612
Maximum1.0611546
Range0.14135467
Interquartile range (IQR)0.0023315044

Descriptive statistics

Standard deviation0.0033922006
Coefficient of variation (CV)0.0033921915
Kurtosis33.084166
Mean1.0000027
Median Absolute Deviation (MAD)0.0011652683
Skewness-0.26829853
Sum68629.184
Variance1.1507025 × 10-5
MonotonicityNot monotonic
2024-07-01T15:00:47.140559image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.000456718 1
 
< 0.1%
1.001627714 1
 
< 0.1%
1.000729912 1
 
< 0.1%
1.000526158 1
 
< 0.1%
0.9942290258 1
 
< 0.1%
0.9994427018 1
 
< 0.1%
1.000534971 1
 
< 0.1%
1.001160079 1
 
< 0.1%
0.9971241245 1
 
< 0.1%
1.000587181 1
 
< 0.1%
Other values (68619) 68619
> 99.9%
ValueCountFrequency (%)
0.9197999353 1
< 0.1%
0.9317411145 1
< 0.1%
0.9406074262 1
< 0.1%
0.9471930879 1
< 0.1%
0.9498431545 1
< 0.1%
0.9530607954 1
< 0.1%
0.9574461041 1
< 0.1%
0.9580549142 1
< 0.1%
0.9588733584 1
< 0.1%
0.9592470945 1
< 0.1%
ValueCountFrequency (%)
1.06115461 1
< 0.1%
1.060902289 1
< 0.1%
1.050791359 1
< 0.1%
1.048429426 1
< 0.1%
1.048120459 1
< 0.1%
1.043217821 1
< 0.1%
1.041404029 1
< 0.1%
1.041218582 1
< 0.1%
1.039025759 1
< 0.1%
1.038982864 1
< 0.1%

mean_volume_overall
Real number (ℝ)

HIGH CORRELATION 

Distinct68551
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3385.0231
Minimum21.958333
Maximum648871.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:00:47.295895image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum21.958333
5-th percentile226.86083
Q1388.16209
median584.88699
Q31159.1674
95-th percentile7567.113
Maximum648871.56
Range648849.6
Interquartile range (IQR)771.00529

Descriptive statistics

Standard deviation19542.209
Coefficient of variation (CV)5.7731392
Kurtosis227.37553
Mean3385.0231
Median Absolute Deviation (MAD)250.29231
Skewness13.644984
Sum2.3231075 × 108
Variance3.8189795 × 108
MonotonicityNot monotonic
2024-07-01T15:00:47.450762image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
308.5 3
 
< 0.1%
301 3
 
< 0.1%
547.4424779 2
 
< 0.1%
567.3333333 2
 
< 0.1%
286.8776371 2
 
< 0.1%
369.1140351 2
 
< 0.1%
487.125 2
 
< 0.1%
532.8142857 2
 
< 0.1%
451.4324324 2
 
< 0.1%
506 2
 
< 0.1%
Other values (68541) 68607
> 99.9%
ValueCountFrequency (%)
21.95833333 1
< 0.1%
23.63478261 1
< 0.1%
28.23185012 1
< 0.1%
43.39072848 1
< 0.1%
45.12941176 1
< 0.1%
48.95977011 1
< 0.1%
54.82841823 1
< 0.1%
55.61611374 1
< 0.1%
57.05970149 1
< 0.1%
57.39823009 1
< 0.1%
ValueCountFrequency (%)
648871.5565 1
< 0.1%
540414.6055 1
< 0.1%
519244.547 1
< 0.1%
500893.3765 1
< 0.1%
490611.6598 1
< 0.1%
454953.2766 1
< 0.1%
440340.6398 1
< 0.1%
434624.6061 1
< 0.1%
431652.3891 1
< 0.1%
430514.5591 1
< 0.1%

mean_volume_difference
Real number (ℝ)

Distinct68397
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.233873
Minimum-204022.43
Maximum324022.68
Zeros0
Zeros (%)0.0%
Negative34624
Negative (%)50.5%
Memory size1.0 MiB
2024-07-01T15:00:47.608760image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-204022.43
5-th percentile-382.84378
Q1-66.637584
median-0.9612069
Q365.416206
95-th percentile377.10906
Maximum324022.68
Range528045.11
Interquartile range (IQR)132.05379

Descriptive statistics

Standard deviation3950.9565
Coefficient of variation (CV)109.04041
Kurtosis1477.7996
Mean36.233873
Median Absolute Deviation (MAD)66.055553
Skewness13.284995
Sum2486694.4
Variance15610057
MonotonicityNot monotonic
2024-07-01T15:00:47.765169image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 4
 
< 0.1%
-60.83333333 3
 
< 0.1%
-24 3
 
< 0.1%
22.2 3
 
< 0.1%
-25.42857143 3
 
< 0.1%
108 3
 
< 0.1%
-29 3
 
< 0.1%
-25 3
 
< 0.1%
-39.66666667 2
 
< 0.1%
63 2
 
< 0.1%
Other values (68387) 68600
> 99.9%
ValueCountFrequency (%)
-204022.4297 1
< 0.1%
-164748.8344 1
< 0.1%
-157896.7224 1
< 0.1%
-132060.2541 1
< 0.1%
-118871.4403 1
< 0.1%
-118141.9818 1
< 0.1%
-111900.4953 1
< 0.1%
-106376.3081 1
< 0.1%
-104338.6328 1
< 0.1%
-99321.85663 1
< 0.1%
ValueCountFrequency (%)
324022.6823 1
< 0.1%
207608.1616 1
< 0.1%
196848.3079 1
< 0.1%
186020.3943 1
< 0.1%
170991.6922 1
< 0.1%
155228.4286 1
< 0.1%
142970.0125 1
< 0.1%
122847.1657 1
< 0.1%
112185.8159 1
< 0.1%
110167.8313 1
< 0.1%

Interactions

2024-07-01T15:00:40.744509image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:15.000755image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:16.706807image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:18.561785image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:20.250208image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:22.382048image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:24.165699image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:25.888593image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:27.690486image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:29.410710image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:31.498389image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:33.364391image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:35.116347image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:36.992537image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:38.802645image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:40.909411image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:15.110949image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:16.814169image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:18.676183image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:20.357213image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:22.485873image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:24.278775image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:25.993283image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:27.801051image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:29.518707image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:31.608261image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:33.466809image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:35.244996image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:37.103072image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:38.919453image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:41.034873image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:15.226651image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:16.928604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:18.792661image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:20.478725image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:22.599676image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:24.398551image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:26.112891image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:27.923469image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:29.639890image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:31.723698image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:33.578389image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:35.364176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:37.215073image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:39.033926image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:41.150499image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:15.338417image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:17.041476image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:18.909865image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:20.632115image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:22.717126image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:24.521067image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:26.228760image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:28.040946image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:29.759958image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:31.847056image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:33.691293image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:35.524691image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:37.333584image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:39.145701image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:41.266032image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:15.456810image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:17.171140image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:19.021815image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:20.745430image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:22.827409image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:24.638400image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:26.346898image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:28.159106image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:29.883340image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:31.963928image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:33.805500image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:35.645035image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:37.451908image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:39.258059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:41.374724image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:15.567216image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:17.412077image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:19.132148image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:20.856205image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:22.986249image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:24.753854image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:26.460413image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:28.276200image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:29.993900image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:32.080758image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:33.913842image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:35.787146image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:37.562450image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:39.366128image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:41.489282image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:15.683953image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:17.528567image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:19.245067image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:20.976603image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:23.128870image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:24.869347image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:26.571204image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:28.390708image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:30.161037image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:32.201379image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:34.027897image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:35.929288image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:37.676141image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:39.480058image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:41.603125image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:15.791162image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:17.638299image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:19.356119image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:21.096040image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:23.247024image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:24.981625image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:26.681749image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:28.497608image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:30.269224image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:32.316365image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:34.145667image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:36.046818image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:37.788858image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:39.585863image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:41.719934image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:15.911745image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:17.761718image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:19.469373image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:21.261755image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:23.367186image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:25.102874image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:26.795767image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:28.610340image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:30.385401image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:32.438504image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:34.262030image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:36.173617image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:37.902625image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:39.698309image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:41.836328image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:16.028017image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:17.878102image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:19.583430image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:21.380440image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:23.481431image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:25.214517image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:26.914146image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:28.727412image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:30.722019image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:32.556851image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:34.381723image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:36.301674image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:38.018011image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:39.809371image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:41.949490image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:16.141434image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:17.994508image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:19.697781image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:21.498889image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:23.594152image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:25.327277image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:27.026012image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:28.843001image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:30.846940image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:32.788631image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:34.503309image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:36.431783image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:38.131791image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:39.923743image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:42.065599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:16.252091image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:18.103398image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:19.805373image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:21.609137image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:23.700814image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:25.434467image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:27.132519image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:28.949304image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:30.955148image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:32.899859image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:34.622005image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:36.544726image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:38.352373image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:40.027404image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:42.194248image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:16.364863image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:18.221276image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:19.915779image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:21.728310image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:23.819285image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:25.546746image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:27.245961image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:29.071425image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:31.072230image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:33.019029image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:34.748948image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:36.658050image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:38.462902image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:40.140648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:42.315371image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:16.480581image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:18.336103image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:20.030029image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:22.037541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:23.939264image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:25.668082image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:27.359420image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:29.183709image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:31.189071image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:33.138619image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:34.877977image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:36.772313image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:38.574408image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:40.255074image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:42.424666image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:16.589439image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:18.451122image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:20.139442image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:22.156172image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:24.057229image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:25.779724image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:27.584337image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:29.297930image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:31.391930image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:33.255776image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:35.001358image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:36.884555image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:38.685381image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:00:40.368298image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-07-01T15:00:47.874397image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
mean_ask_price1mean_ask_price2mean_ask_size1mean_ask_size2mean_bid_ask_1mean_bid_ask_2mean_bid_price1mean_bid_price2mean_bid_size1mean_bid_size2mean_volume_differencemean_volume_overallmean_wap_1mean_wap_2target_value
mean_ask_price11.0000.997-0.070-0.0560.0830.0780.9680.958-0.024-0.0410.053-0.0490.9900.9890.045
mean_ask_price20.9971.000-0.056-0.0430.1070.1150.9570.944-0.010-0.0270.053-0.0350.9830.9820.059
mean_ask_size1-0.070-0.0561.0000.918-0.519-0.2820.0270.0130.8310.842-0.1760.940-0.027-0.025-0.383
mean_ask_size2-0.056-0.0430.9181.000-0.563-0.3220.0480.0340.8390.883-0.1390.955-0.006-0.010-0.399
mean_bid_ask_10.0830.107-0.519-0.5631.0000.933-0.100-0.123-0.525-0.570-0.010-0.565-0.011-0.0110.744
mean_bid_ask_20.0780.115-0.282-0.3220.9331.000-0.095-0.130-0.288-0.328-0.002-0.321-0.010-0.0110.697
mean_bid_price10.9680.9570.0270.048-0.100-0.0951.0000.9970.0750.0650.0550.0570.9910.990-0.093
mean_bid_price20.9580.9440.0130.034-0.123-0.1300.9971.0000.0610.0520.0530.0430.9850.984-0.106
mean_bid_size1-0.024-0.0100.8310.839-0.525-0.2880.0750.0611.0000.9200.2050.9390.0340.034-0.396
mean_bid_size2-0.041-0.0270.8420.883-0.570-0.3280.0650.0520.9201.0000.1630.9550.0170.022-0.409
mean_volume_difference0.0530.053-0.176-0.139-0.010-0.0020.0550.0530.2050.1631.0000.0130.0710.080-0.019
mean_volume_overall-0.049-0.0350.9400.955-0.565-0.3210.0570.0430.9390.9550.0131.0000.0050.006-0.411
mean_wap_10.9900.983-0.027-0.006-0.011-0.0100.9910.9850.0340.0170.0710.0051.0000.999-0.026
mean_wap_20.9890.982-0.025-0.010-0.011-0.0110.9900.9840.0340.0220.0800.0060.9991.000-0.027
target_value0.0450.059-0.383-0.3990.7440.697-0.093-0.106-0.396-0.409-0.019-0.411-0.026-0.0271.000

Missing values

2024-07-01T15:00:42.582768image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-07-01T15:00:42.875037image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

target_valuemean_bid_price1mean_ask_price1mean_bid_price2mean_ask_price2mean_bid_size1mean_ask_size1mean_bid_size2mean_ask_size2mean_bid_ask_1mean_bid_ask_2mean_wap_1mean_wap_2mean_volume_overallmean_volume_difference
1813340.0013811.0003061.0005201.0002271.000604184.553719153.314050198.049587128.5289260.0002140.0003771.0004211.000457664.446281100.760331
590800.0071880.9996091.0008590.9994651.00106173.39735194.32781589.254967106.7019870.0012500.0015951.0001831.000205363.682119-38.377483
674720.0032071.0002681.0012021.0001471.00142254.52525395.10101053.60606144.7171720.0009330.0012751.0006051.000796247.949495-31.686869
3871870.0037431.0000791.0005500.9999401.00064984.40082692.85537290.69214997.0227270.0004710.0007091.0003031.000277364.971074-14.785124
1928460.0038291.0025701.0029011.0025021.00298183.79116580.28714972.15662791.0843370.0003320.0004791.0027701.002736327.319277-15.423695
4146410.0026701.0011671.0013931.0010221.001533171.388087228.153430232.158845280.7039710.0002260.0005121.0012611.001258912.404332-105.310469
750660.0013990.9991520.9993030.9990630.999395165.366477216.465909277.997159227.8181820.0001510.0003320.9992200.999231887.647727-0.920455
1515890.0030271.0015931.0020101.0014471.002116130.507205247.043228121.363112198.9711820.0004170.0006701.0017491.001746697.884726-194.144092
1092450.0053400.9985720.9995010.9976491.0004248701.64067811158.17627117582.66101715661.5949150.0009300.0027740.9989620.99910553104.072881-535.469492
3576730.0018070.9988990.9991300.9986720.999358753.511294685.552361957.5379881007.5770020.0002310.0006860.9990160.9990013404.17864517.919918
target_valuemean_bid_price1mean_ask_price1mean_bid_price2mean_ask_price2mean_bid_size1mean_ask_size1mean_bid_size2mean_ask_size2mean_bid_ask_1mean_bid_ask_2mean_wap_1mean_wap_2mean_volume_overallmean_volume_difference
2355940.0017501.0015551.0016461.0015081.001693150.581667158.406667177.700000175.3633330.0000910.0001841.0016001.001602662.051667-5.488333
620820.0069380.9984000.9990490.9982320.99925094.618304144.95089375.861607133.1696430.0006490.0010180.9986450.998594448.600446-107.640625
16890.0056530.9963010.9980800.9958320.998172115.547170104.83018948.53459181.4842770.0017790.0023400.9972240.996895350.396226-22.232704
1279480.0052731.0009871.0018501.0007991.002033124.313910175.654135129.569549177.0845860.0008630.0012341.0013861.001393606.622180-98.855263
3323220.0030580.9985490.9992610.9983580.99945259.41810331.16379346.98706959.0948280.0007120.0010940.9989270.998842196.66379316.146552
1492260.0017541.0035771.0038001.0033611.0040151485.2423211085.2815702231.5972702184.3447100.0002230.0006541.0037051.0036956986.465870447.213311
3858330.0039280.9995180.9998590.9994850.99989938.60485770.37306819.56512138.7240620.0003410.0004150.9996500.999657167.267108-50.927152
1794010.0015210.9995300.9997570.9993870.999901259.387179477.648718412.507692537.8333330.0002280.0005140.9996160.9996171687.376923-343.587179
3229240.0024830.9997030.9999930.9996471.00004989.95789571.70526391.51052673.4026320.0002890.0004020.9998600.999841326.57631636.360526
3843220.0031371.0004951.0008061.0004171.00087160.70758117.42599347.86823126.5108300.0003110.0004541.0007191.000690152.51263564.638989